Camilo Morales

Secretary General Naturgas

Camilo Morales is an International Business Administrator from Universidad de la Sabana, Colombia, and advanced studies in Mining, Energy and Sustainable Development Law from Universidad de Los Andes. Camilo has 9 years of experience in public, commercial and international affairs in the energy, oil and gas sector. He served as Energy, Oil and Gas Officer at Department for International Trade, United Kingdom, where he designed the strategy to increase British exports to Colombia. Subsequently, he supervised the international affairs of the Colombian National Hydrocarbons Agency to develop a cooperation framework for the offshore oil and gas exploration and production areas. Additionally, he served as Senior Advisor to the Mayor’s Office of Barranquilla, leading Barranquilla to become the first energy capital of Colombia. Camilo brings to the table a wealth of expertise in the energy sector and international relations, embodying youthful leadership. With a passion for energy, Camilo is eager to play a positive part in the evolution of the natural gas sector worldwide towards a sustainable future.

Event Agenda | October 22, 2025

9:00 AM (11.00am to 11.30am BRT) Panel: From Estimates to Evidence: Building Measurement-Informed Inventories with Direct Measurement

As expectations rise for credible, transparent methane reporting, measurement-informed inventories (MIIs) are emerging as a critical tool for bridging the gap between estimates and reality. Combining direct measurements with traditional inventory methods enables operators to produce more accurate, site-specific emissions data. This panel explores the practical challenges of implementing MIIs, from data integration to regulatory alignment, and how they’re reshaping methane strategies across diverse asset types.

Develop robust, digital inventories using asset-specific emissions factors to improve precision and transparency
Leverage continuous data streams from multiple technologies to reconcile discrepancies between site-level readings and aggregated inventory models
Incorporate environmental variables—such as wind, temperature, and humidity—to adjust for measurement uncertainty in dynamic field conditions
Build internal systems that support near-real-time data integration, anomaly detection, and decision-making at scale

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